Healthtech · Life Sciences Software · 50–200 · Europe #b034_18

Context

We use machine learning and pharmacology know-how to find new uses for existing drugs in underserved diseases, progressing our own clinical programmes.

Industry

Healthtech · Life Sciences Software

Size

50–200 employees

Region

Europe

Tools budget

$1K–5K per month

Needs

Internal AI agents & automation. We are building agent systems to automate literature and evidence work for our scientists, and need sturdy orchestration.

Today: a small tech team builds agent workflows on an internal framework and cloud tooling · Urgency: now

Technical hiring. Finding engineers who can build agent software and grasp biology takes far too long.

Today: open requisitions for agentic, machine learning and bioinformatics roles posted on a hiring board · Urgency: now

Data pipelines & integration. Integrating many public biomedical databases into our platform requires constant upkeep when sources change.

Today: agents are wired to a knowledge graph and literature sources via custom connectors · Urgency: now

Who decides

cto · team trial

Expects from suppliers

Agent orchestration with tracing and evaluation; Talent sourcing for scientific machine learning; Connectors to public biomedical sources

Not a fit

Consumer-oriented chatbot builders; Generalist recruiters without technical screening

Stack

LLM APIs in production, cloud: AWS-class hyperscaler, data warehouse: cloud

Buying triggers

AI adoption push, rapid team growth